o3-pro
openai/o3-proPar OpenAI · famille: o-pro · sorti 2025-06-10 · fin de connaissance: 2024-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacités
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding82
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)6/20
- Provider availability6/10
Agents96
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability6/10
JSON / structured output70
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume0/20
Cost efficiency12
- Headline price (log-scaled)12/95
- Has prompt-cache pricing0/5
Long context55
- Context window (100K → 2M)45/90
- Has published price for full window10/10
Vision86
- Accepts image input50/50
- Context window (10K → 1M)20/30
- Has published price10/10
- Provider availability6/10
Production-readiness86
- Number of independent providers30/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $140 $0.14 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $280 $0.03 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $80.00 $0.08 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $240 $0.24 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $288 $0.29 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Détail des tarifs
Tarif recommandé de openai · o3-pro
Fournisseur le moins cher : abacus · $20.00 entrée + $40.00 sortie
Disponible chez 6 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| OpenAI openai | o3-pro | $20.00 | $80.00 | 200K | 2025-06-10 |
| Vercel AI Gateway vercel | openai/o3-pro | $20.00 | $80.00 | 200K | 2025-04-16 |
| Abacus abacus | o3-pro | $20.00 | $40.00 | 200K | 2025-06-10 |
| Kilo Gateway kilo | openai/o3-pro | $20.00 | $80.00 | 200K | 2025-04-16 |
| Cloudflare AI Gateway cloudflare-ai-gateway | openai/o3-pro | $20.00 | $80.00 | 200K | 2025-06-10 |
| Poe poe | openai/o3-pro | $18.00 | $72.00 | 200K | 2025-06-10 |
Incohérences de données entre fournisseurs
- release_date varies (span 55d): 2025-04-16, 2025-06-10
- modalities varies across offerings
Les fournisseurs rapportent des valeurs différentes pour ce modèle. Les infos clés ci-dessus utilisent un fournisseur représentatif ; voir le tableau pour le détail par fournisseur.
Frequently asked questions
How much does o3-pro cost?
o3-pro costs $20.00 per 1M input tokens and $80.00 per 1M output tokens, sourced from openai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of o3-pro?
o3-pro has a context window of 200K tokens, with a max output of 100K tokens per reply. This is the total combined size of prompt + completion.
Does o3-pro support tool calling?
Yes. o3-pro supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does o3-pro support structured output / JSON mode?
Yes. o3-pro supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can o3-pro accept image input?
Yes. o3-pro accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check OpenAI's docs for the exact rule.
Is o3-pro open-weight?
No. o3-pro is a proprietary model — only OpenAI (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to o3-pro?
If o3-pro doesn't fit, consider GPT OSS 120B, GPT OSS 20B, GPT-5.2. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More OpenAI models
- GPT OSS 120B$0.04 in / $0.16 out
- GPT OSS 20B$0.03 in / $0.14 out
- GPT-5.2$1.75 in / $14.00 out
- GPT-5 Mini$0.25 in / $2.00 out
- GPT-5$1.25 in / $10.00 out
Capability lists this model is in
Dernière mise à jour :
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.